E-Ink Image Processing with Scenario-Based Pixel Conversion
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Solution Overview
Problem
Existing image processing methods for electronic ink screens fail to adequately adapt to different usage scenarios, resulting in images that do not meet user needs due to unchanged image processing parameters.
Innovation Solution
A method and apparatus that determine a target processing mode and corresponding parameters for an image, converting initial pixel values to target pixel values using alternative colors, and include modules for contrast enhancement, sharpening, and error diffusion to optimize image processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If fixed image processing parameters are used for all images, then the processing method is simple, but the image quality does not meet user needs in different scenarios
Solution Approach 1:
The patent changes image processing parameters (such as brightness, contrast, sharpness) based on different usage scenarios and image characteristics. The system determines appropriate processing parameters by analyzing the image content and selecting from multiple preset parameter sets, thereby adapting the processing to different scenarios while maintaining reasonable system complexity.
Solution Approach 2:
The patent segments the image processing task by dividing it into multiple stages: image analysis, scenario determination, parameter selection, and processing execution. This segmentation allows the system to handle complexity in a structured way, improving adaptability without overwhelming system complexity.
2Manufacturing precision
If multiple image processing modes are provided, then image quality can be optimized for different scenarios, but the processing time increases
Solution Approach 1:
The patent prepares multiple preset image processing parameter sets in advance for different usage scenarios. When an image needs processing, the system quickly selects the appropriate preset parameters based on image analysis, avoiding the time-consuming process of calculating optimal parameters from scratch. This preliminary preparation maintains high processing precision while reducing actual processing time.
Solution Approach 2:
The system efficiently switches between different parameter sets based on the determined usage scenario, making rapid parameter adjustments without extensive recalculation. This approach maintains processing precision across different scenarios while minimizing the time penalty for mode switching.
3Ease of operation
If image processing parameters are customized for each user, then user needs are better met, but the operation complexity increases
Solution Approach 1:
The patent allows users to customize image processing parameters locally for specific usage scenarios rather than requiring global customization. Users can select and adjust parameters for particular scenarios they encounter, providing targeted customization without requiring comprehensive system configuration. This reduces operational complexity while still meeting specific user needs.
Data Source
AI summary
Provided is a method for processing an image. The method comprises: determining a target processing mode corresponding to a first image to be processed; determining, based on the target processing mode, image processing parameters corresponding to the first image; determining, based on the image processing parameters and an initial pixel value of a pixel in the first image, a target pixel value of the pixel point from pixel values corresponding to a plurality of alternative colors; and acquiring a second image by converting the initial pixel value of the pixel in the first image into the target pixel value.